Abstract: A mapping system receives sensor data from an unmanned aerial vehicle. The mapping system further receives images from a camera of the unmanned aerial vehicle. The mapping system determines an altitude of the camera based on the sensor data. The mapping system calculates a footprint of the camera based on the altitude of the camera and a field of view of the camera. The mapping system constructs a localized map based on the images and the footprint of the camera.

Abstract: A depth camera calibration device and a method thereof are provided. The method comprises: disabling a projection function of a camera and photographing surface planes to obtain a first image; enabling the projection function of the camera and photographing the surface planes to obtain a second image, and a positional relationship between the camera and a calibration plate assembly remaining unchanged when obtaining the first image and the second image; and obtaining parameters of the camera by cropping an image boundary, calculating positions of characteristic points, reading a projection pattern, calculating positions of corresponding points and excluding abnormal points according to the first image and the second image.

Abstract: An autonomous inventory tracking apparatus includes an image acquisition unit configured to acquire an image, and a processor configured to detect a calibration plate in the image acquired from the image acquisition unit, calculate a color correction value for the image according to a color block of the calibration plate, the color block matching a reference value, correct color in the image using the calculated color correction value to provide a color-corrected image, and perform commodity recognition processing on the color-corrected image so as to identify the commodity in the image acquired from the image acquisition unit.

Abstract: The present application provides a monitoring method and device for a mobile target, a monitoring system and mobile robot. The present application through the technical solution that acquiring multiple-frame images captured by an image acquisition device under an moving state of a robot in a monitored region, selecting at least two-frame images with an overlapped region from the multiple-frame images, performing comparison between the selected images by image compensation method or feature matching method, and outputting monitoring information containing a mobile target which moves relative to a static target based on the result of comparison, wherein the position of the mobile target has an attribute of indefinite change, the mobile target in the monitored region can be recognized precisely during movement of the mobile robot, and monitoring information about the mobile target can be generated to prompt correspondingly, thereby safety of the monitored region can be effectively ensured.

Abstract: This disclosure relates generally to image processing, and more particularly to method and system for image reconstruction using deep dictionary learning (DDL). The system collects the degraded image as test image and processes the test image to extract sparse features from the test image, at different levels, using dictionaries. The extracted sparse features and data from the dictionaries are used by the system to reconstruct the HR image corresponding to the test image.

Abstract: Implementations generally relate to estimating grouped observations. In some implementations, a method includes detecting a license plate of a vehicle. The method further includes capturing a plurality of images of the license plate. The method further includes determining candidate characters from the images of the license plate. The method further includes selecting target characters from the candidate characters based on one or more predetermined selection criteria.

Abstract: An information processing apparatus includes: an information management unit that registers boarding information on users regarding boarding and biometrics information on the users acquired by a check-in procedure of the users in association with each other; and a comparison unit that compares target biometrics information, which is biometrics information acquired in a procedure up to the boarding for one of the users, with registered biometrics information, which is the biometrics information registered by the information management unit, and the comparison unit selects the registered biometrics information to be compared with the target biometrics information based on status regarding the procedure up to the boarding of the user corresponding to the registered biometrics information.

Abstract: Systems and methods for digitized document image data spillage recovery are provided. One or more memories may be coupled to one or more processors, the one or more memories including instructions operable to be executed by the one or more processors. The one or more processors may be configured to capture an image; process the image through at least a first pass to generate a first contour; remove a preprinted bounding region of the first contour to retain text; generate one or more pixel blobs by applying one or more filters to smudge the text; identify the one or more pixel blobs that straddle one or more boundaries of the first contour; resize the first contour to enclose spillage of the one or more pixel blobs; overlay the text from the image within the resized contour; and apply pixel masking to the resized contour.

Abstract: An image forming system includes a first image forming apparatus and a second image forming apparatus. The first image forming apparatus includes a register and a first custom box. The register registers a share program for executing particular processing. The first custom box stores a job transmitted from the second image forming apparatus. The second image forming apparatus includes a communication device and a remote instructor. The communication device transmits the job to the first custom box of the first image forming apparatus. The remote instructor gives an instruction to the first image forming apparatus to start processing based on the share program. The first image forming apparatus includes a processing executor. Upon receipt of the instruction to start processing from the remote instructor, the processing executor executes the particular processing based on the share program on the job stored in the first custom box.

Abstract: Systems and methods are described for enabling a client device to request video streams with different bit depth remappings for different viewing conditions. In an embodiment, information indicating the availability of additional remapped profiles is sent in a manifest file. Alternative bit-depth remappings may be optimized for different regions of interest in the image or video content, or for different viewing conditions, such as different display technologies and different ambient illumination. Some embodiments based on the DASH protocol perform multiple depth mappings at the encoder and also perform ABR-encoding for distribution. The manifest file contains information indicating additional remapping profiles. The remapping profiles are associated with different transformation functions used to convert from a higher bit-depth to a lower bit-depth.

Abstract: The claimed invention relates to the data processing industry, in particular, to the methods and systems of searching and analyzing data for finding an object in a video stream. The technical result is enhancing the precision of determining the sought object in a video stream, as well as increasing the speed of locating the object by means of performing a classification of objects and determining their features present on the video stream frames.

Abstract: The invention is a novel watermark in a media sequence and systems and methods for embedding and detecting the watermark. Different watermarks from a watermark set of pseudo random watermarks are selected (randomly or by a selection pattern) and each selected watermark is embedded in a different selected I-frame set of the media stream. Identifying the known sequence of watermarks in the stream of I-frames of a copy can identify the video stream from which the copy originates.

Abstract: An image reader includes a document reading unit, and a control unit that functions as an individual image cutting section, character string detection section, mismatch detection section, judgment section, and correction section. The individual image cutting section cuts out individual images from image data obtained through reading by the document reading unit. The character string detection section detects character strings present on the individual images. The mismatch detection section detects, for the character strings detected by the character string detection section, a mismatching portion by making comparison between the individual images with considering character strings having contents identical or similar to each other as same information. The judgment section judges for the mismatching portions whether a ratio of majority characters reaches a predefined ratio.

Abstract: A fracture detection method executed by an electronic device is provided. The fracture detection method includes obtaining a to-be-detected image; using a Fully Convolutional Networks (FCN) model to process the to-be-detected image to obtain a fracture probability map of the to-be-detected image; performing a maximum pooling process on the fracture probability map to obtain a first fracture probability; extracting Regions of Interests (ROIs) of the to-be-detected image based on the FCN model; inputting the ROIs into a classification model to obtain a second fracture probability; calculating a product of the first fracture probability and the second fracture probability as a probability of a fracture phenomenon in the to-be-detected image. The present disclosure combines the FCN model and the ROIs to realize an automatic fracture detection, and the accuracy is higher. A device employing the method is also disclosed.

Abstract: An image processing apparatus, an image capturing system, an image processing method, and a recording medium are provided.

Abstract: The technology described in this document can be embodied in a method for verifying an authenticated state of a device. In one aspect, the method includes capturing, during a primary authentication process, first auxiliary user identifying information for short-term authentication verification of the subject. The first auxiliary user identifying information includes first eyebrow biometric information for the subject and first eyeglass frame information for the subject. A short-term authentication verification process is performed to verify identify of the subject. In response to determining that a match score that indicates a degree of match between the first auxiliary user identifying information and captured second auxiliary user identifying information meets or exceeds a predetermined threshold, an authenticated state for the subject is verified. In response to determining that the match score does not meet or exceed the predetermined threshold, the authenticated state for the subject is ended.

Abstract: Described is a method that involves operating an unmanned aerial vehicle (UAV) to begin a flight, where the UAV relies on a navigation system to navigate to a destination. During the flight, the method involves operating a camera to capture images of the UAV's environment, and analyzing the images to detect features in the environment. The method also involves establishing a correlation between features detected in different images, and using location information from the navigation system to localize a feature detected in different images. Further, the method involves generating a flight log that includes the localized feature. Also, the method involves detecting a failure involving the navigation system, and responsively operating the camera to capture a post-failure image. The method also involves identifying one or more features in the post-failure image, and determining a location of the UAV based on a relationship between an identified feature and a localized feature.

Abstract: A signal processing device is connected to an endoscope that examines a subject and outputs a signal in accordance with a result of the examination. The signal processing device includes a plurality of internal modules that process the signal output from the endoscope. The internal modules are connected via an interface supporting a communication protocol and having connector geometry, at least the communication protocol or both communication protocol and connector geometry conforming to a communication interface standard.

Abstract: An image processing apparatus for acquiring a current video frame and a scene model based on an input video; determining, based on visual elements in the current video frame, visual element models in the scene model to be visual element models necessary to be corrected and visual element models unnecessary to be corrected; and correcting the visual element models necessary to be corrected based on reference visual element models, wherein the reference visual element models are visual element models in the scene model that are determined to be the visual element models unnecessary to be corrected based on each of the current video frame and its previous video frames, similarities among the appearance features of the reference visual element models and the visual element models necessary to be corrected in the previous video frames satisfy a predetermined condition.

Abstract: A process for fixed camera and unmanned mobile device collaboration is disclosed in order to improve identification of an object of interest. A first point of view (POV) of a captured object is obtained and it is determined, with a first level of certainty, that the captured first POV of the object matches a stored object of interest. Then one or more camera-equipped unmanned mobile vehicles are identified in a determined direction of travel of the first captured object, and a dispatch instruction and intercept information is then transmitted to the one or more camera-equipped unmanned mobile vehicles. Subsequently, a captured second POV of the first captured object is received via the one or more camera-equipped unmanned mobile vehicles. The captured second POV of the captured object is used to determine, with a second level of certainty, that the captured object matches the stored object of interest.